Scott Mitchell Email & Phone Number

London, England, United Kingdom

I've been working in Data Management since 2012, exclusively focused in the world of Scientific R&D since 2019 and have seen that, in the 21st century, the gap between innovation and commoditization has never been narrower. The drive for innovation in material sciences, agriculture, novel therapies and treatments for emerging diseases requires complex science, commercial viability, and environmentally sound and sustainable production. When added to the intensive regulatory framework, it's little surprise that the patent cliff looms large in pharma, C&M and biotech business strategies. With the exponential growth in data production coming from new technologies including NGS and the deluge of new analytical methods and instruments, the Scientist and Research IT teams are under more pressure than ever. How do R&D organisations make best use of the ever decreasing gap and the influx of new data? AI/ML are certainly among the answers, but making consistent model quality data for AI/ML applications and science tools often require the scientist to become a coder, and joining those disparate data sets with the contextualised metadata required to deliver insight is slow & expensive. Scientific discovery is complex- why should scientists need to add coding skills to their considerable workload to enable your teams to work in an already highly pressured environment? Talk to us at Sapio Sciences about our low-code/no-code R&D and Clinical ELN& LIMS solutions.

Bishop’S Stortford, England, United Kingdom

The Scientific R&D industry is at the centre of many of today’s challenges, including treatment for Novel Diseases and Therapeutics for existing conditions, as well as energy storage for e-mobility, lightweight and high performance materials for increased energy efficiency and miniaturization for mobility applications. As a part of a larger innovation value chain, they are driven to globalize their research teams to work more closely with key customers who require faster innovation cycles to meet product development timelines. Digitalizing R&D has become a key component of Scientific R&D strategies, aiming to innovate faster, by leveraging existing research data, IP and knowledgeDoing more with less - Ensuring throughput, avoiding duplication and distributing workloads while monitoring projects for their chances of success. The need to handle research data in a more effective way sits at the core of these objectives.

Bishop’S Stortford, Hertfordshire, United Kingdom

London, United Kingdom

Identifying strategic opportunities, supplier sourcing, closing business with both new and existing clients.

Waltham Cross

Hertford, England, United Kingdom

Ba, French & English Literature

Communications Skills - Sold Out Training Negotiation Skills - Pareto Law Sales Skills - Pareto Law

Education record